AI Models

OpenAI's advanced reasoning model — thinks before it answers

Anthropic's most intelligent model — frontier reasoning and advanced agentic capabilities

Google's most intelligent model — frontier reasoning with 1M context

DeepSeek's open reasoning model — o1-class math and code, fully open-weight

Anthropic's hybrid reasoning model — extended thinking with everyday efficiency

Anthropic's best-in-class coding and instruction-following model

OpenAI's flagship multimodal model — text, vision, and audio in one

Google's long-context multimodal model — 1M token window for documents, video, and code

OpenAI's fastest reasoning model with native vision support

xAI's frontier reasoning model — trained on Colossus supercluster

Meta's largest open-weight model — GPT-4-class intelligence, fully open

DeepSeek's efficient MoE model — GPT-4-class performance at a fraction of the training cost

xAI's capable model with real-time X/Twitter data access

Anthropic's previous flagship — deep reasoning and nuanced writing

OpenAI's high-capability GPT-4 variant with 128K context — now superseded by GPT-4o

Meta's efficient open model — 405B performance in a 70B package

Mistral's flagship model — multilingual reasoning with 128K context

Anthropic's fastest, most affordable model — Sonnet-class intelligence at Haiku speed

Google's next-gen fast model — real-time multimodal and native tool use

OpenAI's fast, affordable multimodal model for high-volume workloads

Mistral's lean, open-weight model — fast and capable for everyday tasks

Google's fast multimodal model — 1M context at production speed and cost

Cohere's RAG-optimised model — retrieval-augmented generation at scale

Meta's lightweight open multimodal model — vision + text at 11B parameters

Mistral's code-specialist model — built for coding tasks end to end

OpenAI's efficient reasoning model — o3 power at lower cost